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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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The improved dynamic slicing for spectrum-based fault localization.

Heling Cao1,2, Fei Wang1, Miaolei Deng1,3

  • 1College of Information Science and Engineering, Henan University of Technology, ZhengZhou, HeNan, China.

Peerj. Computer Science
|October 20, 2022
PubMed
Summary
This summary is machine-generated.

This study enhances spectrum-based fault localization using improved dynamic slicing. The new method significantly reduces the cost of examining code during software testing and debugging.

Keywords:
Debugging costDynamic slicingFault localizationSoftware debugging

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Area of Science:

  • Software Engineering
  • Computer Science

Background:

  • Spectrum-based fault localization is crucial for software testing and debugging.
  • Improving fault localization effectiveness remains a key research area.
  • Dynamic slicing offers potential for fault localization by extracting program dependencies.

Purpose of the Study:

  • To propose an improved dynamic slicing technique for spectrum-based fault localization.
  • To enhance the accuracy and efficiency of identifying software faults.

Main Methods:

  • Obtain dynamic slices of program execution.
  • Construct a mixed slice spectrum matrix using dynamic slices and test results.
  • Compute suspiciousness values for each program statement.

Main Results:

  • An empirical study was conducted on 15 open-source programs.
  • The proposed approach demonstrated significant improvements over existing techniques.
  • Reduced the average cost of code examination by 1% to 17.79%.

Conclusions:

  • The improved dynamic slicing technique effectively enhances spectrum-based fault localization.
  • This method offers a more efficient approach to debugging software.
  • Significant cost reductions in code examination were achieved.